Paper title |
Author(s) |
Link to the Paper (when accepted) |
Accuracy of Gaussian approximation for high-dimensional posterior distributions |
Vladimir Spokoiny, Maxim Panov |
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On the robustness of the minimim $\ell_2$ interpolator |
Matthieu Lerasle, Geoffrey Chinot |
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A Spectral Representation of Kernel Stein Discrepancy with Application to Goodness-of-Fit Tests for Measures on Infinite Dimensional Hilbert Spaces |
George Wynne, Mikołaj Kaspzak, Andrew B Duncan |
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Limit theorems for SDEs with irregular drifts
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Jiaqing Hao
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An adaptive model checking test for functional linear model
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Enze Shi, Yi Liu, Ke Sun, Lingzhu Li, Linglong Kong
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Functional diffusion driven stochastic volatility model
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Piotr Stefan Kokoszka, Neda Mohammadi, Haonan Wang, Shixuan Wang
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Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables
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Yuqi Gu
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Unified RKHS Methodology and Analysis for Functional Linear and Single-Index Models
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Krishnakumar Balasubramanian, Hans-Georg Muller, Bharath K Sriperumbudur |
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Theoretical properties of angular halfspace depth
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Stanislav Nagy, Petra Laketa
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Random Fields on Hilbert Spaces with their Equivalent Gaussian Measures
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Vinicius Ferreira, Emilio Porcu, Jorge Zubelli
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Laplace and Saddlepoint Approximations in High-Dimensions
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Yanbo Tang, Nancy Margaret Reid
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Adaptive estimation of irregular mean and covariance functions
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Steven Golovkine, Nicolas Klutchnikoff, Valentin Patilea
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Change point detection in low-rank VAR processes
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Farida Enikeeva, Olga Klopp, Mathilde Rousselot
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Hölder regularity and roughness: construction and examples
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Erhan Bayraktar, Purba Das, Donghan Kim
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Short-time Expansion of Characteristic Functions in a Rough Volatility Setting with Applications
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Carsten H. Chong, Viktor Todorov
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Optimal Spectral Recovery of a Planted Vector in a Subspace
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Cheng Mao, Alexander S. Wein
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Isotonic Conditional Laws
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Sebastian Arnold, Johanna Ziegel
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Speeding up Monte Carlo integration: control neighbors for optimal convergence
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Rémi Leluc, François Portier, Johan Segers, Aigerim Zhuman
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Bayesian uncertainty quantification and structure detection for multiple change points models
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Eduard Belitser, Subhashis Ghosal
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High-dimensional variable selection with heterogeneous signals: A precise asymptotic perspective
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Saptarshi Roy, Ambuj Tewari, Ziwei Zhu
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Multiple testing under negative dependence
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Ziyu Chi, Aaditya Ramdas, Ruodu Wang
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Stochastic selection problem for a Stratonovich SDE with power non-linearity
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Ilya Pavlyukevich, Georgiy Shevchenko
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Extremal shot noise processes and random cutout sets
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Clément Foucart, Linglong Yuan
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Siblings in d-dimensional nearest neighbour trees
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Jérôme Casse
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A nonparametric distribution-free test of independence among continuous random vectors based on ?1-norm
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Nour-Eddine Berrahou, Salim Bouzebda, Lahcen Douge
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Optimal transport and Wasserstein distances for causal models
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Patrick Cheridito, Stephan Eckstein
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Reversibility of elliptical slice sampling revisited
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Daniel Rudolf, Viacheslav Natarovskii, Mareike Hasenpflug
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Heat kernel estimates for kinetic SDEs with drifts being unbounded and in Kato's class
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Chongyang Ren, Xicheng Zhang
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Brownian motion conditioned to spend limited time outside a bounded interval – an extreme example of entropic repulsion
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Frank Aurzada, Martin Kolb, Dominic Tobias Schickentanz
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Generalized Hadamard differentiability of the copula mapping and its applications
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Natalie Neumeyer, Marek Omelka
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Bayesian inference for k-monotone densities with applications to multiple testing
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Kang Wang, Subhashis Ghosal
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Phase Transitions of the Maximum Likelihood Estimates in the p-Spin Curie-Weiss Model
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Somabha Mukherjee, Jaesung Son, Bhaswar Bikram Bhattacharya
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A Global Wavelet Based Bootstrapped Test of Covariance Stationarity
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Jonathan B. Hill
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On Lasso estimator for the drift function in diffusion models
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Gabriela Ciolek, Dmytro Marushkevych, Mark Podolskij
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Treatment Effect Estimation with Efficient Data Aggregation
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Snigdha Panigrahi, Jingshen Wang, Xuming He
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Averaging symmetric positive-definite matrices on the space of eigen-decompositions
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Sungkyu Jung, Brian Rooks, David Groisser, Armin Schwartzman
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On a Near-Optimal & Efficient Algorithm for the Sparse Pooled Data Problem
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Max Hahn-Klimroth, Remco van der Hofstad, Noela Müller, Connor Riddlesden
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Heat content for Gaussian processes: small-time asymptotic analysis
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Kei Kobayashi, Hyunchul Park
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Random line graphs and edge-attributed network inference
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Zachary Lubberts, Avanti Athreya, Youngser Park, Carey E Priebe
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Sharper dimension-free bounds on the Frobenius distance between sample covariance and its expectation
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Nikita Puchkin, Fedor Noskov, Vladimir Spokoiny
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Optimal Wasserstein-1 distance between SDEs driven by Brownian motion and stable processes
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Changsong Deng, Rene Schilling, Lihu Xu
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From dense to sparse design: Optimal rates under the supremum norm for estimating the mean function in functional data analysis
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Max Berger, Philipp Hermann, Hajo Holzmann
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Optimal Scaling Results for a Wide Class of Proximal MALA Algorithms
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Francesca Romana Crucinio, Alain Durmus, Pablo Jimenez, Gareth O Roberts
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Practical lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances
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Austin Brown, Galin Jones
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Convergence of Empirical Optimal Transport in Unbounded Settings
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Thomas Staudt, Shayan Hundrieser
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Topological signatures of periodic-like signals
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Frédéric Chazal, Bertrand Michel, Wojciech Reise
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LAMN property for stable-Lévy SDEs with constant scale coefficient
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Alexandre Brouste, Laurent Denis, Trâm Thi-Bao Ngô
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Edgeworth expansion by Stein’s method
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Xiao Fang, Song-Hao Liu
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Explicit Constraints on the Geometric Rate of Convergence of Random Walk Metropolis-Hastings
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Riddhiman Bhattacharya, Galin L. Jones
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PDE characterisation of geometric distribution functions and quantiles
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Dimitri Konen
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Clustering a mixture of Gaussians with unknown covariance |
Damek Davis, Mateo Díaz, Kaizheng Wang |
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On the convergence of PINNs
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Gérard Biau, Claire Boyer, Nathan Doumèche
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A model-based approach to density estimation in sup-norm
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Guillaume Maillard
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Goodness-of-fit tests for High-dimensional Parametric Multiresponse Regressions
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Lixing Zhu
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A new adaptive local polynomial density estimation procedure on complicated domains
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Karine Bertin, Nicolas Klutchnikoff, Frédéric Ouimet
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Functional central limit theorem with mean-uncertainty under sublinear expectation
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Xiaofan Guo, Xinpeng Li
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Uniform error bound for PCA matrix denoising
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Xin Thomson Tong, Wanjie Wang, Yuguan Wang
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Asymptotic Normality of Log Likelihood Ratio and Fundamental Limit of the Weak Detection for Spiked Wigner Matrices
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Hye Won Chung, Jiho Lee, Ji Oon Lee
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Computable bounds for solutions to Poisson's equation and perturbation of Markov kernels
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Loic Hervé, James Ledoux
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Scaling of Piecewise Deterministic Monte Carlo for Anisotropic Targets
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Kengo Kamatani, Joris Bierkens, Gareth O. Roberts
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PDF |
Asymptotic properties of spiked eigenvalues and eigenvectors of signal-plus-noise matrices with their applications
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Xiaoyu Liu, Yiming Liu, Guangming Pan, Lingyue Zhang, Zhixiang Zhang
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Covariance Operator Estimation: Sparsity, Lengthscale, and Ensemble Kalman Filters
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Omar Al-Ghattas, Jiaheng Chen, Daniel Sanz-Alonso, Nathan Waniorek
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High-dimensional Posterior Consistency in Multi-response Regression models with Non-informative Priors for Error Covariance Matrix
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Partha Sarkar, Kshitij Khare, Malay Ghosh
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F Statistics for High-Dimensional Inference of Linear Model
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Yumou Qiu, Yushan Gu
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Inference for change-plane regression
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Chaeryon Kang, Hunyong Cho, Rui Song, Moulinath Banerjee, Eric B. Laber, Michael R. Kosorok
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PDF |
Estimation and inference for the Wasserstein distance between mixing measures in topic models
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Xin Bing, Florentina Bunea, Jonathan Niles-Weed
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Sandpiles on the Vicsek fractal explode with probability 1/4
|
Nico Heizmann, Robin Kaiser, Ecaterina Sava-Huss
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PDF |
Extrinsic Derivative Formula for Distribution Dependent SDEs
|
Panpan Ren
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PDF |
The fewest-big-jumps principle and an application to random graphs
|
Céline Kerriou, Peter Mörters
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PDF |
Varying coefficient regression: revisit and parametric help
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Seung Hyun Moon, Byeong Uk Park, Young Kyung Lee
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PDF |
Almost sure growth of integrated supOU processes
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Danijel Grahovac, Péter Kevei
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PDF |
Ergodicity, CLT and asymptotic maximum of the Airy$_1$ process
|
Fei Pu
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Finite moments testing in a general class of nonlinear time series models
|
Christian Francq, Jean-Michel Zakoian
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A central limit theorem for a sequence of conditionally centered random fields
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Rasmus Waagepetersen
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PDF |
Nearly minimax robust estimator of the mean vector by iterative spectral dimension reduction
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Arshak MINASYAN
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PDF |
The extended Ville's inequality for nonintegrable nonnegative supermartingales
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Hongjian Wang, Aaditya Ramdas
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PDF |
Local Goodness-of-Fit Testing for Hölder-Continuous Densities: Minimax Rates
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Julien Chhor, Alexandra Carpentier |
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Weak equivalence of local independence graphs
|
Søren Wengel Mogensen
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PDF |
Viscosity estimation for 2D pipe flows I. Construction, consistency, asymptotic normality
|
Thi Hien Nguyen, Armen Shirikyan
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PDF |
A Second Order Correct Bootstrap Method in Logistic Regression
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Debraj Das, Priyam Das
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Nonparametric estimation for additive concurrent regression models
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Elodie Brunel, Fabienne Comte, Céline Duval
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Efficient Quantile Regression under Censoring Using Laguerre Polynomials
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Alexander Kreiss, Ingrid Van Keilegom
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PDF |
On non-negative solutions of stochastic Volterra equations with jumps and non-Lipschitz coefficients
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Aurélien Alfonsi, Guillaume Szulda
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Log-concave density estimation in undirected graphical models
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Kaie Kubjas, Olga Kuznetsova, Elina Robeva, Pardis Semnani, Luca Sodomaco
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PDF |
Estimation of a score-explained non-randomized treatment effect in fixed and high dimensions
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Debarghya Mukherjee, Moulinath Banerjee, Ya'acov Ritov
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Non-parametric estimates for graphon mean-field particle systems
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Erhan Bayraktar, Hongyi Zhou
|
PDF |
Simultaneous semiparametric inference for single-index models
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Jiajun Tang, Holger Dette
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Data fusion methods for the heterogeneity of treatment effect and confounding function
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Shu Yang, Siyi Liu, Donglin Zeng, Xiaofei Wang
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Sequential kernel embedding for mediated and time-varying dose response curves
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Rahul Singh, Liyuan Xu, Arthur Gretton
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Pattern based tests for two-dimensional copulas
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Ludwig Baringhaus, Rudolf Gruebel
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Parabolic Anderson Model with Colored Noise on the Torus
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Le Chen, Cheng Ouyang, William Vickery
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Subexponential estimates for the first hitting time of a Brownian motion with singular drift
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Dante DeBlassie, Adina Oprisan, Robert G. Smits |
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Compound Multivariate Hawkes Processes: Large Deviations and Rare Event Simulation
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Raviar S. Karim, Roger J. A. Laeven, Michel R. H. Mandjes
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On numerical discretizations that preserve probabilistic limit behaviors for time-homogeneous Markov process
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Chuchu Chen, Tonghe Dang, Jialin Hong, Guoting Song
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Efficiency and Information Geometry for Kronecker Covariances
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Andrew McCormack, Peter Hoff
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Prediction of random variables by excursion metric projections |
Vitalii Makogin, Evgeny Spodarev |
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